EndoQuest expands collaboration with NVIDIA to power next-generation endoluminal robotic surgery

EndoQuest Robotics Inc. announced new initiatives tied to its collaboration with NVIDIA to integrate NVIDIA IGX Thor, an enterprise-ready platform powered by NVIDIA’s Blackwell architecture, into EndoQuest’s next-generation endoluminal robotic surgical system.

The collaboration centers on integrating EndoQuest’s visualization system, robotic control and secure cloud services with NVIDIA’s Physical AI software stack to deliver real-time image processing, robotic control and cloud-enabled intelligence within a unified architecture. The company said the approach is intended to support real-time, image-based solutions for intraoperative tissue differentiation, perfusion visualization and select autonomous surgical tasks.

The next-generation platform is also expected to incorporate capabilities for remote robotic operation, teleproctoring for surgical guidance and collaborative surgical workflows, orchestrated to achieve the lowest possible latency using NVIDIA Holoscan software development tools.

“AI and robotics will redefine the operating room by enhancing surgical vision and precision beyond human limits,” said Todd Wilson, chief medical officer and chairman of the International Advisory Board of EndoQuest Robotics. “This shift will enable earlier diagnosis and highly targeted therapies that minimize patient impact while maximizing the potential for cure.”

Eduardo Fonseca, chief executive officer of EndoQuest Robotics, said the company is focused on simplifying and strengthening its technology foundation. “By powering our visualization, control, and secure cloud services with NVIDIA AI infrastructure, we aim to streamline our system architecture for performance, reliability and clinical scalability,” Fonseca said. “This unified architecture is critical to advancing our technology for endoluminal robotic surgery and supporting future capabilities in imaging intelligence, robotic performance, and connected surgical workflows.”

As part of the initiative, EndoQuest will use NVIDIA AI infrastructure to support low-latency sensor processing and 3D visualization, precise and time-synchronized motion control, and secure cloud connectivity. The company said these capabilities will enable fleet management, data services, teleproctoring and future artificial intelligence deployment, with insights informing product development and commercialization plans.

The announcement coincides with EndoQuest’s PARADIGM Trial, a pivotal multicenter study evaluating the company’s endoluminal surgical system for lower gastrointestinal procedures performed by colorectal surgeons and gastroenterologists.

Advances in endoluminal robotic surgery

Endoluminal robotic surgery is emerging as a significant area of innovation within minimally invasive care, driven by advances in imaging, computing power and artificial intelligence. Unlike traditional laparoscopic or open approaches, endoluminal systems are designed to operate through natural orifices, allowing physicians to reach lesions deep within the gastrointestinal tract while minimizing external incisions and trauma.

Recent progress has focused heavily on improving visualization. High-definition, 3D imaging combined with real-time image processing is enabling surgeons to better distinguish between healthy and diseased tissue during procedures. Emerging techniques such as enhanced perfusion imaging and tissue characterization are helping clinicians assess blood flow and tissue viability intraoperatively, potentially improving decision-making and outcomes.

Robotic control systems have also become more sophisticated, with improved dexterity, stability and precision in confined anatomical spaces. Advances in motion scaling, tremor reduction and time-synchronized control are allowing more precise manipulation of instruments, which is particularly important in delicate GI procedures where millimeters matter.

Artificial intelligence is increasingly being layered into these platforms, supporting functions such as image recognition, workflow assistance and early steps toward task automation. While fully autonomous surgery remains a long-term goal, current systems are exploring semi-autonomous features that can assist with repetitive or highly standardized tasks under physician supervision.

Connectivity is another key trend shaping the sector. Secure cloud integration is enabling remote system monitoring, data aggregation and analytics, as well as teleproctoring, where experienced clinicians can guide procedures from afar. This has implications not only for training and consistency of care, but also for expanding access to advanced procedures in settings that may lack on-site expertise.

Together, these advances point toward operating rooms that are increasingly data-driven, connected and precise, with endoluminal robotic technologies playing a growing role in less invasive diagnosis and treatment of complex gastrointestinal conditions.